Allocation of carbon emission quotas in Chinese provinces based on Super-SBM model and ZSG-DEA model

Chen, Fang; Zhao, Tao; Xia, Hongmei; Cui, Xiaoyan; Li, Zhiyuan

doi:10.1007/s10098-021-02137-5

Cited by 36 publications

(15 citation statements)

References 28 publications

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“…In order to integrate energy, carbon emissions, and economic growth into the framework of efficiency analysis, we first need to construct a production possibility set that contains both desired and undesired outputs [7,8]. In the literature, normal products are often defined as desired outputs, and pollutants emitted as byproducts of industrial production, such as waste gas and waste water, are defined as undesired outputs [9,10].…”

Section: Methodsmentioning

confidence: 99%

Public Sector Performance Assessment Based on DEA Model: The Case of Environmental Policy

Zhang

2022

Security and Communication Networks

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The contradiction between economic development and environmental protection is a core issue that plagues developing countries. The Chinese government has continuously implemented different environmental policies to alleviate the contradiction between economic development and environmental protection, but how they will perform remains unknown. Therefore, this paper revises the classical DEA model and then empirically evaluates the efficiency of environmental policies in 31 Chinese provinces from 2015 to 2020. It is found that the environmental efficiency of each local government has steadily improved, and the provincial differences show a trend of continuous reduction. However, when decomposed, the technical efficiency gap among provinces is large, and the scale efficiency even shows a downward trend. This paper also adopts the Malmquist index for dynamic analysis of environmental efficiency, and the research findings have important theoretical value for scientific formulation of environmental policies.

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Section: Methodsmentioning

confidence: 99%

Public Sector Performance Assessment Based on DEA Model: The Case of Environmental Policy

Zhang

2022

Security and Communication Networks

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“…At present, it is common to consider the negative impact of undesired output on economic growth and introduce the undesired output and expected output into the model research by using slacks-based model (SBM). For example, Chen Fang et al used "carbon emissions" as single nonexpected output index to measure the green economic efficiency of all provinces in China [12]. Xia Yongqiu et al used the SBM to calculate China's green economic efficiency by taking the industrial three wastes emission index as multiple undesired outputs and discovered that the national average annual green economic efficiency was 0.7, yielding an inverted U-shaped evolution process [13].…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] How to Evaluate the Efficiency of Green Economy and Its Regional Differences: Evidence from China

Duan

Tang

Kui

2022

Discrete Dynamics in Nature and Society

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Green economy is environmentally friendly economy, which is important for the sustainable economic development and environmental protection. Based on the panel data of 30 provinces and cities in China, a three-stage super-efficient SBM-DEA (slack-based model-data envelopment analysis) model is constructed to evaluate the efficiency of green economy and analyze its regional differences. The results show that, first, the random error factor and external environmental conditions significantly affect the efficiency of green economy. Second, the green economic efficiency in China from 2010 to 2019 is stable and needs to be further improved. Third, through regional comparison, it is found that the green economy efficiency in eastern China is higher than those in central and western China and the green economy efficiency in northeast China is the lowest. Finally, green economy efficiency does not simply depend on the economic development, the regional differences of green economy efficiency results from the combined effects of different geographical resources endowment, different economic development characteristics, and different environmental protection policies in different regions of China. Based on the research findings, corresponding policy suggestions are put forward to improve the efficiency of green economy.

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“…In addition, some scholars use the carbon emission efficiency calculated by the input-output DEA model as the standard. It is too simple to measure the carbon emission efficiency with a single factor, so in order to measure the carbon emission efficiency of each region more comprehensively, the SBM model is established to calculate the carbon emission efficiency (Chen et al 2021). Referring to Qin et al (2017) and Zhou et al (2017), more emission quotas were allocated to provinces with good emission efficiency performance.…”

Section: Efficiencymentioning

confidence: 99%

Research on Carbon Allowance Allocation for Public Buildings in China Based on the Target of Carbon Emission Intensity Reduction in 2030

Zhang

Liu

2023

Preprint

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Due to the increasing energy crisis and climate warming, carbon emission reduction has attracted the attention of all countries. Carbon trading is an effective way to reduce carbon emissions. As one of the three major carbon emitters, the construction sector urgently needs to establish and improve the construction carbon trading market. Since the allocation of carbon emission rights is the first step to carbon trading, it is necessary to reasonably allocate carbon emissions to each province. This paper establishes a set of carbon emission allocation methods based on the principles of equity, efficiency, historical responsibility, emission reduction capacity and environmental level according to the relative emission reduction action target of 2030 proposed by the Chinese government. Correspondingly, urban population, carbon emission efficiency calculated by DEA model, historical cumulative CO2 emissions, ratio of R&D expenditure to GDP and forest coverage are selected as indicators and the entropy weight method is applied to allocate the amount of CO2. Taking the achievement of China's carbon peak target as an example, carbon emission quotas for public buildings in 2030 were calculated for each province. After verification of Gini coefficient and contribution coefficient, the allocation scheme is derived to be compatible with the economy, population and environment. The results show that the CO2 allocation shows a trend of gradual decrease from southeast to northwest, with Guangdong and Jiangsu having the highest carbon quotas and Qinghai and Xinjiang having the lowest. 33.3% of the provinces are under pressure to reduce emissions, with Xinjiang having the highest pressure to reduce emissions, and economically developed regions like Beijing, Zhejiang and Guangdong still face some pressure to reduce emissions. Finally, the allocation method proposed in this paper can be used as a reference for the building sector, and the allocation scheme can help policy makers in each province to formulate an effective and differentiated emission reduction strategy that ensure the successful achievement of emission reduction targets.

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Allocation of carbon emission quotas in Chinese provinces based on Super-SBM model and ZSG-DEA model

Cited by 36 publications

References 28 publications

Public Sector Performance Assessment Based on DEA Model: The Case of Environmental Policy

Public Sector Performance Assessment Based on DEA Model: The Case of Environmental Policy

[Retracted] How to Evaluate the Efficiency of Green Economy and Its Regional Differences: Evidence from China

Research on Carbon Allowance Allocation for Public Buildings in China Based on the Target of Carbon Emission Intensity Reduction in 2030

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